Structural damage detection and localization using decision tree ensemble and vibration data
暂无分享,去创建一个
Paola Festa | Tommaso Pastore | Domenico Asprone | Giulio Mariniello | Costantino Menna | P. Festa | D. Asprone | C. Menna | Tommaso Pastore | G. Mariniello
[1] Frank McKenna,et al. OpenSees: A Framework for Earthquake Engineering Simulation , 2011, Computing in Science & Engineering.
[2] B. Ripley. Classification and Regression Trees , 2015 .
[3] Carmelo Gentile,et al. Unsupervised real‐time SHM technique based on novelty indexes , 2019, Structural Control and Health Monitoring.
[4] P. G. Bakir,et al. Sensitivity-based finite element model updating using constrained optimization with a trust region algorithm , 2007 .
[5] Charles R. Farrar,et al. Structural Health Monitoring: A Machine Learning Perspective , 2012 .
[6] Lior Rokach,et al. Ensemble-based classifiers , 2010, Artificial Intelligence Review.
[7] Hojjat Adeli,et al. Enhanced probabilistic neural network with local decision circles: A robust classifier , 2010, Integr. Comput. Aided Eng..
[8] D Inaudi. Long-term Static Structural Health Monitoring , 2010 .
[9] Tongdan Jin,et al. Condition based maintenance optimization for wind power generation systems under continuous monitoring , 2011 .
[10] Nenad Mladenovic,et al. Less is more: Basic variable neighborhood search for minimum differential dispersion problem , 2016, Inf. Sci..
[11] Filipe Magalhães,et al. Dynamic monitoring of a long span arch bridge , 2008 .
[12] Chin-Hsiung Loh,et al. Application of advanced statistical methods for extracting long-term trends in static monitoring data from an arch dam , 2011 .
[13] Keith Worden,et al. An introduction to structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[14] Filippo Ubertini,et al. Crack detection and localization in RC beams through smart MWCNT/epoxy strip-like strain sensors , 2018, Smart Materials and Structures.
[15] Xiao Liang,et al. Vibration‐based semantic damage segmentation for large‐scale structural health monitoring , 2019, Comput. Aided Civ. Infrastructure Eng..
[16] Khalid M. Mosalam,et al. Deep Transfer Learning for Image‐Based Structural Damage Recognition , 2018, Comput. Aided Civ. Infrastructure Eng..
[17] Gokhan Pekcan,et al. Structural health monitoring using extremely compressed data through deep learning , 2019, Comput. Aided Civ. Infrastructure Eng..
[18] Jo Woon Chong,et al. Nonlinear multiclass support vector machine–based health monitoring system for buildings employing magnetorheological dampers , 2014 .
[19] Costas Papadimitriou,et al. Optimal sensor placement for multi-setup modal analysis of structures , 2017 .
[20] Alessandro Cabboi,et al. From continuous vibration monitoring to FEM-based damage assessment: Application on a stone-masonry tower , 2017 .
[21] Xuefeng Zhao,et al. Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network , 2019, Comput. Aided Civ. Infrastructure Eng..
[22] Erik A. Johnson,et al. Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data , 2004 .
[23] Jian Li,et al. Concrete Crack Detection and Monitoring Using a Capacitive Dense Sensor Array , 2019, Sensors.
[24] Filippo Ubertini,et al. Automated crack detection in conductive smart-concrete structures using a resistor mesh model , 2018 .
[25] Antoine Grall,et al. A condition-based maintenance policy for stochastically deteriorating systems , 2002, Reliab. Eng. Syst. Saf..
[26] Panos M. Pardalos,et al. Less is more approach: basic variable neighborhood search for the obnoxious p-median problem , 2020, Int. Trans. Oper. Res..
[27] Hojjat Adeli,et al. Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings , 2007 .
[28] Edwin Reynders,et al. An efficient approach to model updating for a multispan railway bridge using orthogonal diagonalization combined with improved particle swarm optimization , 2020 .
[29] Peng Zhao,et al. Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images , 2018, Comput. Aided Civ. Infrastructure Eng..
[30] James L. Beck,et al. Structural Health Monitoring via Measured Ritz Vectors Utilizing Artificial Neural Networks , 2006, Comput. Aided Civ. Infrastructure Eng..
[31] Oral Büyüköztürk,et al. Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types , 2018, Comput. Aided Civ. Infrastructure Eng..
[32] Onur Avci,et al. Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks , 2018, Journal of Sound and Vibration.
[33] Filippo Ubertini,et al. Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model , 2017 .
[34] Alison B. Flatau,et al. Review Paper: Health Monitoring of Civil Infrastructure , 2003 .
[35] Francesco Fabbrocino,et al. An Embedded Wireless Sensor Network with Wireless Power Transmission Capability for the Structural Health Monitoring of Reinforced Concrete Structures , 2017, Sensors.
[36] G. De Roeck,et al. DESCRIPTION OF Z24 BENCHMARK , 2003 .
[37] Hojjat Adeli,et al. A New Neural Dynamic Classification Algorithm , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[38] Pang-jo Chun,et al. Bridge Damage Severity Quantification Using Multipoint Acceleration Measurement and Artificial Neural Networks , 2015 .
[39] Wei Zhang,et al. Unified Vision‐Based Methodology for Simultaneous Concrete Defect Detection and Geolocalization , 2018, Comput. Aided Civ. Infrastructure Eng..
[40] Moncef Gabbouj,et al. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks , 2017 .
[41] Erik A. Johnson,et al. NATURAL EXCITATION TECHNIQUE AND EIGENSYSTEM REALIZATION ALGORITHM FOR PHASE I OF THE IASC-ASCE BENCHMARK PROBLEM: SIMULATED DATA , 2004 .
[42] Filipe Magalhães,et al. Continuous dynamic monitoring of an onshore wind turbine , 2018, Engineering Structures.
[43] Jack Brimberg,et al. Less is more: Solving the Max-Mean diversity problem with variable neighborhood search , 2017, Inf. Sci..
[44] Ronald L. Rivest,et al. On Estimating the Size and Confidence of a Statistical Audit , 2007, EVT.
[45] Hojjat Adeli,et al. A novel machine learning‐based algorithm to detect damage in high‐rise building structures , 2017 .
[46] Yi-Zhou Lin,et al. Structural Damage Detection with Automatic Feature‐Extraction through Deep Learning , 2017, Comput. Aided Civ. Infrastructure Eng..
[47] Hojjat Adeli,et al. A novel unsupervised deep learning model for global and local health condition assessment of structures , 2018 .
[48] Tzu-Kang Lin,et al. Applications of neural network models for structural health monitoring based on derived modal properties , 2018, Measurement.